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» Measuring Neural Synchrony by Message Passing
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NIPS
2007
13 years 6 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
OPODIS
2003
13 years 6 months ago
Emulating Shared-Memory Do-All Algorithms in Asynchronous Message-Passing Systems
A fundamental problem in distributed computing is performing a set despite failures and delays. Stated abstractly, the problem is to perform N tasks using P failure-prone processor...
Dariusz R. Kowalski, Mariam Momenzadeh, Alexander ...
ICANN
2007
Springer
13 years 11 months ago
A Distributed Message Passing Algorithm for Sensor Localization
We propose a fully distributed message passing algorithm based on expectation propagation for the purpose of sensor localization. Sensors perform noisy measurements of their mutual...
Max Welling, Joseph J. Lim
PODC
2009
ACM
13 years 11 months ago
Fast scalable deterministic consensus for crash failures
We study communication complexity of consensus in synchronous message-passing systems with processes prone to crashes. The goal in the consensus problem is to have all the nonfaul...
Bogdan S. Chlebus, Dariusz R. Kowalski, Michal Str...